Nuvasive, Inc.

Globus Medical, Inc.

Sean O'Connor

Eric Finley

Dmitry Novikov

Kara Robinson

Siddhi Tavildar

Samuel Morris Johnston

Elazar Cohen

Adrien Ponticorvo

Alexander Hsu

William Trung Le

David Wanderman

Nissim Avitan

Gilad Stern

Systems and methods for automatically determining pedicle screw trajectories for surgery may be provided. A scan of a spine may be received, and positions of one or more vertebra and one or more components of the one or more vertebra in the scan may be identified. Next, a screw trajectory planning algorithm may determine an initial screw trajectory plan using the positions of the one or more vertebra and the one or more components. The screw trajectory planning algorithm may then determine a revised screw trajectory plan by revising the initial screw trajectory plan according to weighted factors.

Automated pedicle screw planning

Imaging systems and methods may facilitate positioning an imaging device in a procedure room. A 3D image of a subject may be obtained, where the subject is to have a procedure performed thereon. A view of the 3D image of the subject may be adjusted to a desired view and an associated 2D image reconstruction at the desired view may be obtained. A position for the imaging device that is associated with the desired view of the 3D image of the subject may be identified. Adjusting a view of the 3D image to a desired view and obtaining a 2D image reconstruction may be performed pre-procedure, such that a user may be able to create a list of desired views pre. A user may adjust a physical position of the imaging device to obtain reconstructed 2D preview images at the adjusted physical position of the imaging device prior to capturing an image.

Systems and methods for surgical navigation

Examples of the disclosure include methods and systems for calibrating a C-arm imaging device for surgical navigation. Calibrating the C-arm imaging device may include, for a plurality of positions of the C-arm imaging device, determining the position of the C-arm imaging device, receiving an image of a calibration fixture from the C-arm imaging device, determining the position of the calibration fixture and a tracking array positioned on the C-arm imaging device, determining intrinsic parameters using the image and the position of the calibration fixture, and determining extrinsic parameters using the position of the tracking array relative to a detector of the C-arm imaging device. Calibrating the C-arm imaging device may include modeling parameters for the C-arm imaging device and iteratively tuning the model.

Calibration for surgical navigation

Disclosed herein are systems and methods for adjusting appearance of objects in medical images.

Adjusting appearance of objects in medical images

Disclosed examples include those directed to detecting and remediating detachment of electrodes from a patient. In an example, a system calculates a Pearson correlation coefficient between: (1) power spectral density of the noise and (2) power spectral density of a recorded signal (e.g., from an electrode being operated in free-run EMG mode). If the recorded signal correlates with the noise, then the system notifies the user of presence of noise (e.g., the fallen electrode). Otherwise, the recorded signal is considered as the signal of interest (e.g., a valid EMG signal).

Electrode disconnect detection

A method includes receiving a three-dimensional image dataset of a surgical site of a patient. The method also includes segmenting one or more anatomical features of the surgical site based on the three-dimensional image dataset. The method also includes receiving a two-dimensional image of the surgical site of the patient and registering the two-dimensional image to an image from the three-dimensional image dataset. The method also includes displaying a two-dimensional representation of the segmented one or more anatomical features based on the registered two-dimensional image and the image from the three-dimensional image dataset.

Systems and methods for anatomical segmentation

The present disclosure includes systems, methods and media for rendering objects translucent and for recovery of anatomical information blocked by the objects in medical images.

Systems and methods for rendering objects translucent in x-ray images

Example systems and methods correctly align or register a first image with a second image using user input to identify location(s) of interest in the overlay image. The system can ask a user to select a vertebral level of interest on a screen displaying the baseline and/or the overlay image. Then, the user input can be advantageously to guide subsequent image registration steps. The systems and methods herein may also be used to augment an existing image-recognition algorithm.

Systems and methods for medical image registration

Disclosed herein are systems and methods for enhancement of objects of interest in medical images.

Growing community of inventors

San Diego, CA, United States of America

Sean O'Connor